Summary of the paper
| Title | Speech Data Corpus for Verbal Intelligence Estimation |
|---|---|
| Authors | Kseniya Zablotskaya, Steffen Walter and Wolfgang Minker |
| Abstract | The goal of our research is the development of algorithms for automaticestimation of a person's verbal intelligence based on the analysis oftranscribed spoken utterances. In this paper we present the corpus of Germannative speakers' monologues and dialogues about the same topics collected atthe University of Ulm, Germany. The monologues were descriptions of two shortfilms; the dialogues were discussions about problems of German education. Thedata corpus contains the verbal intelligence quotients of each speaker, whichwere measured with the Hamburg Wechsler Intelligence Test for Adults. In thispaper we describe our corpus, why we decided to create it, and how it wascollected. We also describe some approaches which can be applied to thetranscribed spoken utterances for extraction of different features which couldhave a correlation with a person's verbal intelligence. The data corpusconsists of 71 monologues and 30 dialogues (about 10 hours of audio data). |
| Language | Speech resource/database |
| Topics | Corpus (creation, annotation, etc.), Information Extraction, Information Retrieval, Speech resource/database |
Full paper  |
Speech Data Corpus for Verbal Intelligence Estimation |
| Bibtex | @InProceedings{ZABLOTSKAYA10.663, author = {Kseniya Zablotskaya, Steffen Walter and Wolfgang Minker}, title = {Speech Data Corpus for Verbal Intelligence Estimation}, booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |